IDS.338J | Spring 2010 | Graduate

Multidisciplinary System Design Optimization

Lecture Notes

This section contains lecture slides for the course. Slides for lectures 6, 20 and 22 are unavailable.

LEC # TOPICS LECTURE NOTES
1 Introduction to multidisciplinary system design optimization (PDF - 1.9MB)
2 Problem formulation (PDF - 1.9MB)
3 Modeling and simulation (PDF - 3.3MB)
4 Problem decomposition (PDF - 2.2MB)
5 Design space exploration (PDF - 1.1MB)
6 Visualization
 

 

7 Numerical optimization I (PDF - 2.3MB)
8 Numerical optimization II (PDF - 1.3MB)
9 Sensitivity analysis (PDF - 2.1MB)
10 Simulated annealing (PDF)
11 Genetic algorithms I (PDF - 2.3MB)
12 Genetic algorithms II (PDF)
 
13 Goal programming – isoperformance (PDF - 8.2MB)
14 Multi-objective optimization I (PDF - 2.3MB)
15 Multi-objective optimization II (PDF - 2.1MB)
16 Post-optimality analysis (PDF - 1.2MB)
17 Approximation methods (PDF - 2.4MB) (Select slides courtesy of Theresa Robinson and Andrew March. Used with permission.)
18

Robust design

Guest lecturer: Dan Frey

(PDF) (Courtesy of Dan Frey. Used with permission.)
19 Design for value (PDF - 2.7MB)
20 MDO at Boeing

21

Design for flexibility

Guest lecturer: Michel-Alexandre Cardin

(PDF) (Courtesy of Michel-Alexandre Cardin. Used with permission.)
22 Roots and future of MDO

23 Course Summary (PDF - 1.3MB)
Learning Resource Types
Problem Sets with Solutions
Lecture Notes
Projects with Examples
Presentation Assignments with Examples
Written Assignments with Examples